Intuitive quasi-eigen faces

  • Authors:
  • Ig-Jae Kim;Hyeong-Seok Ko

  • Affiliations:
  • Seoul National University;Seoul National University

  • Venue:
  • Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia
  • Year:
  • 2007

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Abstract

In blendshape-based facial animation, two main approaches are used to create the key expressions: manual sculpting and statistically-based techniques. Hand-generated expressions have the advantage of being intuitively recognizable, thus allowing animators to use conventional keyframe control. However, they may cover only a fraction of the expression space, resulting in large reproduction/animation errors. On the other hand, statistically-based techniques produce eigenfaces that give minimal reproduction errors but are visually non-intuitive. In this paper we propose a technique to convert a given set of hand-generated key expressions into another set of so-called quasi-eigen faces. The resulting expressions resemble the original hand-generated expressions, but have expression space coverages more like those of statistically generated expression bases. The effectiveness of the proposed technique is demonstrated by applying it to hand-generated expressions.